Portfolio

Hi, I'm Shubham

A Full Stack Developer
based in 36/F Sitalatala Lane, Kolkata, 700011

Shubham Sarkar

Hey

I'm Shubham Sarkar, a detail-oriented Full Stack Developer with expertise in machine learning and deep learning. I thrive on collaborating with teams to create scalable AI solutions that drive innovation and meet project goals.

Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision

Experience

Machine Learning Engineer

Alignerr • Remote

  • Enhanced LLM evaluation precision by 15% through a comprehensive review of a rubric-based scoring framework across six reasoning categories.
  • Analyzed over 50 audio files for integration into ASR pipelines.
  • Evaluated AI agent responses, identifying failure points such as inference memory and self-coherence, resulting in a 20% improvement in model accuracy.

Deep Learning Research Assistant

Jadavpur University CMATER Lab • Kolkata, India

  • Designed and implemented a self-attention mechanism (scaled dot-product) within a pre-trained VGG16, significantly enhancing feature extraction for lung cancer detection from CT scans.
  • Developed a hybrid deep learning architecture achieving 99.54% peak accuracy with only 76k trainable parameters and 0.0256 GFLOPs, facilitating edge-device deployment.
  • Engineered feature fusion through concatenation and element-wise multiplication of original and attention-modulated maps for refined, context-aware representations.

Skills

Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision LLM Fine Tuning RAG TensorFlow PyTorch scikit-learn Hugging Face Pandas NumPy Langchain Flask FastAPI Amazon Web Services (AWS) Docker MLflow DVC Streamlit CI/CD PostgreSQL SQL ETL Pipelines Linux Vector Databases (Chroma) Python C JavaScript HTML CSS Data Structures and Algorithms

Projects

TailorCV.ai

TailorCV.ai Check out

Python, FastAPI, LLM, AI agents, Amazon Web Services

  • Developed an AI web application that optimizes resumes to job descriptions using LLMs and NLP pipelines, improving resume relevance by up to 80%.
  • Designed a Python and FastAPI backend with HTML, CSS, and JavaScript for the frontend, dockerized the application, and deployed it on AWS ECS.
  • Achieved over 50 users within the first week of launch, demonstrating strong early adoption and real-world impact.
PythonFastAPILLMAI agentsAmazon Web Services
Code Live
YouTube Sentiment Analysis

YouTube Sentiment Analysis Check out

TensorFlow, NLP, AWS EC2, Scikit-learn

  • Created an end-to-end YouTube sentiment analysis pipeline processing over 10,000 user comments, enhancing sentiment classification performance through NLP preprocessing techniques.
  • Tracked multiple model experiments using MLflow and DVC, enabling reproducible training and systematic comparison of models built with scikit-learn and NLP libraries.
  • Deployed the pipeline on AWS using Docker and exposed predictions via Flask REST APIs, facilitating scalable and reproducible inference.
TensorFlowNLPAWS EC2Scikit-learn
Code Live
Smart Product Pricing

Smart Product Pricing Check out

Keras, Hugging Face Transformers, ResNet50, OpenCV

  • Developed an NLP and CV pipeline to analyze 150,000 image and text data using transformer-based text encoders and CNN-based image embeddings, integrating them through a fusion neural network for price prediction.
  • Implemented data preprocessing techniques, including text cleaning, tokenization, and streaming image feature extraction with ResNet and CLIP representations to manage large datasets.
  • Built and fine-tuned models using TensorFlow and scikit-learn, achieving a rank of 142 out of 50,000 participants.
KerasHugging Face TransformersResNet50OpenCV
Code
RAG System

RAG System Check out

  • Made a production-ready RAG pipeline integrating semantic vector retrieval with LLM generation to produce context-grounded responses.
  • Engineered multiple chunking strategies and a scalable ingestion , retrieval , generation flow for efficient semantic search and generation.
  • Implemented history-aware and multimodal augmentations, and evaluated retrieval outputs to measure relevance and quality.
Code

Extracurriculars

Core Member

Entrepreneurship Cell, Jadavpur University

  • Organized national-level events such as E-Summit 2025 and Hult Prize 2025, attracting over 5,000 registrations and 1,000+ attendees.
  • Contributed to the establishment of an Incubation Center at Jadavpur University under the Institution’s Innovation Council (IIC).

Coordinator

Jadavpur University Finance Club

  • Led planning and execution of Finspire 2025, a national-level finance event with 1,000+ registrations and 500+ on-ground
  • attendees, strengthening the club’s national presence.
  • Delivered high-impact trading and investment courses to 100+ students, improving engagement in financial markets

Contact

Let's connect for roles, collaborations, or a quick conversation about building good work.